# Reflection 2

Part 1:

• In this dataset the probability that a hotel reservation is canceled is 32.76%
• In this dataset the probability that a hotel reservation is cancelled and a meal plan is not selected is 4.68%
• In this dataset the probability that a hotel reservation is cancelled given that a meal plan has not been selected is 33.12%
• In this dataset the probability that a room is a corporate room given that it has been canceled is 0.02%
• In this dataset the probability that a reservation is cancelled given that it was complementeary is 30.4%
• In this dataset the probability that a reservation aws booked online and canceled is 0.24%
• In this dataset the probability that a reservation is aviation related given that it is canceled is 0.003%

Part 2:

https://www.kaggle.com/datasets/piterfm/olympic-games-medals-19862018

• In this dataset the probability that a medal is gold given that it was won by the US is 39.5%
• In this dataset the probability that a medal was son by SWE given that it is bronze is 3.3%

I chose this dataset because I swim and swimming is an Olympic sport, as well as the wide variety of countries that participate allow for many possible probabilities to be computed. Given these results I would like to next try to predict what medal a country is most likely to win for each country

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